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2006
IEEE

Incorporating Gene Ontology in Clustering Gene Expression Data

9 years 1 months ago
Incorporating Gene Ontology in Clustering Gene Expression Data
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissimilarity measures. In the paper we briefly review currently published attempts to genomic data fusion and discuss a problem of validating results from clustering expression data. We apply our approach to a real microarray expression dataset which induces a correlationbased dissimilarity matrix, and use Gene Ontology
Rafal Kustra, Adam Zagdanski
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2006
Where CBMS
Authors Rafal Kustra, Adam Zagdanski
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